A novel finite-time average consensus protocol based on event-triggered nonlinear control strategy for multiagent systems

We present a novel finite-time average consensus protocol based on event-triggered control strategy for multiagent systems. The system stability is proved. The lower bound of the interevent time is obtained to guarantee that there is no Zeno behavior. Moreover, the upper bound of the convergence tim...

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Detalles Bibliográficos
Autores principales: Wang, Xiaobo, Li, Juelong, Xing, Jianchun, Wang, Ronghao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5643387/
https://www.ncbi.nlm.nih.gov/pubmed/29081634
http://dx.doi.org/10.1186/s13660-017-1533-6
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author Wang, Xiaobo
Li, Juelong
Xing, Jianchun
Wang, Ronghao
author_facet Wang, Xiaobo
Li, Juelong
Xing, Jianchun
Wang, Ronghao
author_sort Wang, Xiaobo
collection PubMed
description We present a novel finite-time average consensus protocol based on event-triggered control strategy for multiagent systems. The system stability is proved. The lower bound of the interevent time is obtained to guarantee that there is no Zeno behavior. Moreover, the upper bound of the convergence time is obtained. The relationship between the convergence time and protocol parameter with initial state is analyzed. Lastly, simulations are conducted to verify the effectiveness of the results.
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spelling pubmed-56433872017-10-27 A novel finite-time average consensus protocol based on event-triggered nonlinear control strategy for multiagent systems Wang, Xiaobo Li, Juelong Xing, Jianchun Wang, Ronghao J Inequal Appl Research We present a novel finite-time average consensus protocol based on event-triggered control strategy for multiagent systems. The system stability is proved. The lower bound of the interevent time is obtained to guarantee that there is no Zeno behavior. Moreover, the upper bound of the convergence time is obtained. The relationship between the convergence time and protocol parameter with initial state is analyzed. Lastly, simulations are conducted to verify the effectiveness of the results. Springer International Publishing 2017-10-16 2017 /pmc/articles/PMC5643387/ /pubmed/29081634 http://dx.doi.org/10.1186/s13660-017-1533-6 Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research
Wang, Xiaobo
Li, Juelong
Xing, Jianchun
Wang, Ronghao
A novel finite-time average consensus protocol based on event-triggered nonlinear control strategy for multiagent systems
title A novel finite-time average consensus protocol based on event-triggered nonlinear control strategy for multiagent systems
title_full A novel finite-time average consensus protocol based on event-triggered nonlinear control strategy for multiagent systems
title_fullStr A novel finite-time average consensus protocol based on event-triggered nonlinear control strategy for multiagent systems
title_full_unstemmed A novel finite-time average consensus protocol based on event-triggered nonlinear control strategy for multiagent systems
title_short A novel finite-time average consensus protocol based on event-triggered nonlinear control strategy for multiagent systems
title_sort novel finite-time average consensus protocol based on event-triggered nonlinear control strategy for multiagent systems
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5643387/
https://www.ncbi.nlm.nih.gov/pubmed/29081634
http://dx.doi.org/10.1186/s13660-017-1533-6
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